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Analyzing customer feedback for better LLMs product
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User analytics
for LLMs

Map the sequence of actions users take with your LLMs to drive engagement and satisfaction.

Think Mixpanel for LLMs.

Fully integrated with your stack

Many LLM users. One platform.
Countless questions answered.

Understand user journeys

Capture users actions when interacting with your LLM. It’s not magic, it’s autocapture.

Improve user satisfaction

Continuously understand which LLM users are satisfied and what frustrates others.

Learn what users ask

Automatically find out what are the most common questions that LLM users ask, and where they get their answers from.

Keep costs under control

Monitor project-level LLM costs to find the right balance between cost and satisfaction to deliver ROI.

Loved by AI Leaders

The #1 platform for LLMs users analytics

VP of AI
US finance corporation
As more and more LLM models go into production, then a big question arises. Are these models actually providing good results to our users or not really? LLMs analytics in production is the future!
10:01 PM · Sep 7, 2023
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VP of AI
US bank
Nebuly is a great tool. I love the metrics one can see in your dashboard (users, requests, costs) and the platform’s capability to automatically determine the topics of a given LLM project.
1:03 PM · Jul 3, 2023
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Director of AI
Swedish company
Knowing the LLMs user satisfaction for each topic discussed is very valuable, as well as the optimization recommendations on how to improve the model and at what cost.
10:17 PM · Aug 3, 2023
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VP of Generative AI
US start-up
You need some sort of system to understand what the purpose of these LLMs is, how the users are interacting with them and how they feel like. Until today, there was no way to easily view all of that in one dashboard.
8:00 PM · Sep 1, 2023
Director of AI
Large healthcare enterprise
I was not satisfied with where we were. It was a big step up to be able to understand how the changes we're making are affecting user experience. That was like a really pivotal moment.
4:05 PM · Aug 9, 2023
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Director of AI
E-commerce Indian company
It's imperative to monitor the cost of LLMs in production. Because these are very costly models and if you just let users carry on, you would not be able to deliver the ultimate business ROI.
10:17 PM · Sep 15, 2023

Understand causes of LLM frustration. Continuously identify and address sources of frustration for LLM users. What questions and actions result into poor outcomes?

Uncover LLM user journeys. Figure out what actions LLM users take and why. What follows action A? How many steps does it take to get from action A to action B?

Analyze your users' questions. Automatically cluster LLM user interactions by questions and topics. Drill down to identify and address areas of low user satisfaction.

Drill-down on LLM costs. Allocate LLM production costs across projects, users and topics. Understand which use cases are financially viable and where you need to optimize.

Understand causes of LLM frustration.

Continuously identify and address sources of frustration for LLM users. What questions and actions result into poor outcomes?

Uncover LLM user journeys

Figure out what actions LLM users take and why. What follows action A? How many steps does it take to get from action A to action B?

Analyze your users' questions

Automatically cluster LLM user interactions by questions and topics. Drill down to identify and address areas of low user satisfaction.

Drill-down on LLM costs

Allocate LLM production costs across projects, users and topics. Understand which use cases are financially viable and where you need to optimize.

User analytics to deliver profitable LLMs that users love.